L-SYSTEM-GENERATED TOPOLOGY OPTIMIZATION OF COMPLIANT MECHANISMS USING GRAPH-BASED INTERPRETATION Conference Paper uri icon

abstract

  • Traditional topology optimization techniques, such as density-based and level set methods, have proven successful in identifying potential design configurations but suffer from rapidly increasing design space dimensionality and convergence to local minima. A heuristic alternative to these approaches couples a genetic algorithm with a Lindenmayer System (L-System), which encodes design variables and governs the development of the structure when coupled with some sort of interpreter. This work discusses the development of a graph-based interpretation scheme referred to as Spatial Interpretation for the Development of Reconfigurable Structures (SPIDRS). This framework allows for the effective exploration of the design space using a limited number of design variables. The theory and implementation of this method are detailed, and a compliant mechanism case study is presented to demonstrate the ability of SPIDRS to generate structures capable of achieving multiple design goals.

name of conference

  • Volume 5B: 42nd Mechanisms and Robotics Conference

published proceedings

  • PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2018, VOL 5B

author list (cited authors)

  • Bielefeldt, B. R., Hartl, D. J., & Akleman, E.

citation count

  • 4

complete list of authors

  • Bielefeldt, Brent R||Hartl, Darren J||Akleman, Ergun

publication date

  • August 2018